Most commercial AI products optimize for local turn-by-turn quality without establishing good-shape across whole conversations.

Entities in the same semantic neighborhood but without a typed relation to this one — candidates for new edges or unrecognized duplicates.

• Most AI assistants are anti-Alexander by design—they perform helpfulness, show work, and list options rather than resolving into calm.claim0.774
• There are no obvious technical barriers to building AI systems which satisfy the indicator properties.claim0.771
  Feasibility claim about near-term conscious AI.
• AI alignment with human interests is good for both humans and potentially for AI systems, providing a basis for overlapping consensus on alignment.claim0.770
  Second mutual-benefit model example from Long (2025b).
• Capability can become polish, and polish can diminish life—Alexander's central insight empirically demonstrated in AI outputs.claim0.768
• These methods make it possible to control AI behavior more precisely and with far fewer human labels.quote0.765
  Highlights the practical impact of CAI.
• Aesthetics of AI interaction is orthogonal to competence benchmarks and deserves its own design language.claim0.759
• Many of the indicator properties can be implemented in AI systems using current techniques.claim0.757
  Feasibility demonstrated in Section 3.1.
• Recent AI advances are revolutionary but far from recapitulating human-like cognitive abilities or consciousness.claim0.755